Tanviben Patel

The paper compares machine learning algorithms to predict COVID-19 severity using eight cofactors and finds that most algorithms outperform SVM based on AUC scores.

This study compares human and computer attention patterns when assessing images of genetic conditions using eye-tracking and deep learning saliency maps.

This paper compares SVM and Naive Bayes algorithms for predicting heart disease and survivability using a clinical dataset, finding Naive Bayes achieves 93% accuracy for survivability.